A comparison of methods to estimate abundance and biomass from belt transect surveys

Chang, Jui‐Han; Shank, Burton V.; Hart, Deborah R.

doi:10.1002/lom3.10174

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A comparison of methods to estimate abundance and biomass from belt transect surveys

2017
By Chang, Jui‐Han ; Shank, Burton V. ; Hart, Deborah R.
Source: Limnology and Oceanography: Methods, 15(5), 480-494

[PDF-964.35 KB]

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Details:

Journal Title:

Limnology and Oceanography: Methods
Personal Author:

Chang, Jui‐Han ; Shank, Burton V. ; Hart, Deborah R.

Chang, Jui‐Han ; Shank, Burton V. ; Hart, Deborah R. Less -
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; NEFSC (Northeast Fisheries Science Center)

NMFS (National Marine Fisheries Service) ; NEFSC (Northeast Fisheries Science Center) Less -
Description:

It is becoming increasingly popular to use continuously collected acoustic or optical data to estimate abundance or biomass of ﬁsh and invertebrates. However, data from such systems are typically highly spatial- ly autocorrelated and zero-inﬂated, and thus simple design-based estimation techniques are not applicable. Model-based estimation methods can be used to extrapolate observations along the observed track to largerareas. We tested the precision and accuracy of three model-based methods using both simulations and ﬁeld data: Ordinary kriging (OK), Generalized Additive Models with kriged model residuals (GAM 1OK), and Gen- eralized Additive Mixed Models with kriged model residuals (GAMM 1OK), along with a design-based meth-
Keywords:

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Ocean Engineering
Source:

Limnology and Oceanography: Methods, 15(5), 480-494
DOI:

https://doi.org/10.1002/lom3.10174
ISSN:

1541-5856;1541-5856;
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Rights Statement:

This article is a U.S. Government work and is in the public domain in the USA
Compliance:

Library
Main Document Checksum:

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urn:sha256:65a86bdc3c8597b42fc82d6d9d4feb10c7d7b55d11cbb795a609b0edce7a04db
Download URL:

https://repository.library.noaa.gov/view/noaa/52800/noaa_52800_DS1.pdf
File Type:

Machine readable version (XML)

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